Solutions Architect - Digital Native Business (Fintech)

What you'll do

• Own account technical strategy from discovery through production deployment and consumption growth.
• Design and present scalable solutions across data engineering, ML/AI, and real-time analytics; advise senior customer stakeholders.
• Coordinate internal and partner teams, demonstrate Databricks in competitive situations, and relay customer feedback to product teams.

What they ask for

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong Python and SQL coding skills, including live coding, debugging, and solution building.
• Expertise in distributed data systems and production deployments on AWS, Azure, or GCP.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).

Nice to have

• Databricks certifications; experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider; financial services, insurance, or banking domain expertise.

Pay

$180,000 — $247,500 USD; salary range or on-target earnings, depending on whether the role is non-commissionable or commissionable (posting does not specify which).

Tools

Python, SQL, Databricks Platform, AWS, Azure, GCP, Snowflake, Azure Synapse

AI focus

Applies ML and AI to customer use cases and designs production-grade solutions spanning ML/AI and data strategy.